Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition by Rakesh Sengupta

“…Abstract This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. …”
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Automatic identification of discontinuities and refined modeling of rock blocks from 3D point cloud data of rock surfaces by Yaopeng Ji, Shengyuan Song, Jianping Chen, Jingyu Xue, Jianhua Yan, Yansong Zhang, Di Sun, Qing Wang

“…The spatial distribution of discontinuities and the size of rock blocks are the key indicators for rock mass quality evaluation and rockfall risk assessment. …”
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Tectonic Fractures Modeling Based on Multi-Source Data Fusion in Deep Carbonate Reservoirs, Northeast Sichuan Basin, China by Hui Li, Daqian Zeng, Yuchun You, Guoping Liu, Dandan Wang, Rui Zhang

“…Deep carbonate reservoirs exhibit pronounced multiscale heterogeneity, driven by polyphase fault activation and matrix heterogeneity, which collectively control the stochastic hierarchical spatial distribution of fracture networks. The construction of high-fidelity discrete fracture network (DFN) models proves critical for deciphering fracture propagation mechanisms and mitigating characterization uncertainties in tectonically overprinted reservoirs. …”
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Ultra-high-resolution modeling of ground-level ozone for long-term exposure risk assessment driven by GTR-transformer by Jiahuan Chen, Heng Dong, Zili Zhang, Sicong He

“…This model integrates bidirectional temporal attention and spatial encoding techniques to construct a dataset of monthly average ozone concentrations at an ultra-high (100-m) resolution across representative regions of China from 2020 to 2023. …”
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Motion of Magnetic Microcapsules Through Capillaries in the Presence of a Magnetic Field: From a Mathematical Model to an In Vivo Experiment by Mikhail N. Zharkov, Mikhail A. Pyataev, Denis E. Yakobson, Valentin P. Ageev, Oleg A. Kulikov, Vasilisa I. Shlyapkina, Dmitry N. Khmelenin, Larisa A. Balykova, Gleb B. Sukhorukov, Nikolay A. Pyataev

“…A partial differential equation for the spatial distribution of magnetic capsules has been obtained. …”
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A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction by Zhiyuan Li, Xuan Fu, Chengjian Mo, Jianlong Tang, Ronghua Guo, Wenbo Li

“…The experimental results show that the proposed method’s performance is advantageous in recognizing work modes under the comprehensive MFR signal model.…”
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Learning Curves in Laparoscopic Training: Comparative Analysis of Two Training Models by Layla Settaf-Cherif, Adam Ostrowski, Anmol Khan, Katarzyna Malinowska, Oliwia Kwiatkowska, Łukasz Paszylk, Jan Adamowicz, Tomasz Drewa

“…Results: Both training models improved laparoscopic skills, but the distributed group showed superior skill retention and consistency. …”
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An Integrated Remote Sensing Drought Monitoring Model Based on Multi-source Information by Dejun ZHANG, Guan HONG, Shiqi YANG, Hao ZHU

“…In order to solve the problem of the traditional remote sensing drought index focuses on the monitoring of a single response factor and lacks a complete analysis of drought.In this paper， we selected TVDI， RVI， PDI， and GVMI daily products estimated from remote sensing data as independent variables， and MCI calculated from meteorological data at the adjacent moments of satellite transit as dependent variables， and uses the Random Forest Regression （RFR） model to construct a integrated remote sensing drought monitoring model.The results show that the accuracy of RFR model is better than that of the Ordinary Least Squares （OLS） model in bothtraining data and test data.The R value of the RFR training data is 0.97， the RMSE is 0.33， the R value of the RFR test data is 0.90， and the RMSE is 0.53.The R value of the OLS training data is 0.78， the RMSE value is 0.73， the R value of the OLS test data is 0.76， and the RMSE value is 0.79.The comparisons of RFR and OLS model in R and RMSE show that the RFR model is superior than the OLS model in the characterization of regional drought.In the application of drought monitoring in Southwest China in 2022， the RFR results are consistent with the spatiotemporal distribution of the MCI index， which can better characterize the spatial and temporal dynamics of the regional drought， reflecting the practicality of the RFR model in the actual drought monitoring process.However， the accuracy of RFR model is related to the number of regional stations and the spatial distribution of stations， and the accuracy of the RFR model is higher in areas with a large number of stations and uniform distribution of stations.…”
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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing by Zhenyu Wang, Weixing Xu, Yida Liu, Beibei Liu, Ling Zhu

“…Taking Nanjing as a case study, this study employed 24 h of location-based service data as a time series to explore the vitality transfer pattern within a day from both distribution and aggregation perspectives. Spatial dependence decay patterns were detected using residual clustering relationships, and the LightGBM model was used to explore the relationship between vitality transfer and 50 factors in five categories: transportation, function, economy, morphology, and geography. …”
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Six footprints to monitor the bioeconomy into a safe and just future by Hanna Helander, Meghan Beck-O’Brien, Christian Lutz, Rüdiger Schaldach, Anna Schomberg, Johannes Többen, Stefan Bringezu

“…Drawing on several years of collaborations between researchers from the different footprint domains, we introduce an integrated modelling approach to link global trade models for national footprint accounting with spatially specific impact assessments of terrestrial biomass production. …”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…Applying an appropriate model to measure and fairly distribute the indicators of having a creative place among urban areas is one of the ways to achieve justice in Tabriz. …”
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Model test on the load bearing mechanism of inclined pile-sheet retaining wall by GE Sha, WANG Weijun, QU Hongxia, WANG Meng, ZHANG Min

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Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

“…The institutional bottlenecks and implementation difficulties of the existing operation models are systematically analyzed. The current dilemma of balancing the public welfare and commercial aspects of parks as a public product is put forward together with the difficulties involved in park management, such as the complexity of cross-departmental coordination, and the lack of detailed policy basis and effective profit distribution system.ResultsBy constructing an “all-in-one map” of spatio-temporal park assets to achieve three-dimensional quantification of spatial assets, an inventory of the land, buildings, and facilities within parks is conducted, park plan is spatially classified, and in combination with the demand for mixed land use featuring the combination of dominance by public welfare and flexible compatibility”, park space is divided into core conservation areas, compatible utilization areas, and market revitalization areas. …”
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Spectral Energy Density in an Axisymmetric Galaxy as Predicted by an Analytical Model for the Maxwell Field by Mayeul Arminjon

“…An analytical model for the Maxwell radiation field in an axisymmetric galaxy, proposed previously, is first checked for its predictions of the spatial variation of the spectral energy distributions (SEDs) in our Galaxy. …”
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A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads by Ming LI, Jizhou LIU

“…Based on the validated method, the spatial distribution of traffic noise near the arterial road is investigated for different traffic scenarios.…”
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Calculation Models for Acoustic Analysis of St. Elizabeth of Hungary Church in Jaworzno Szczakowa by Krzysztof KOSAŁA

“…The next stages in the development of the index method for assessing the acoustic quality of churches were taking into account the audience, using simulation tests and determining the spatial distribution of the single number GAP index in an examined church. …”
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Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regre... by F. S. Zhang, S. B. Zhong, Z. T. Yang, C. Sun, C. L. Wang, Q. Y. Huang

“…However, few studies have been carried out by developing a regression model to estimate the effects of the spatial distribution of meteorological factors on losses associated with meteorological disasters. …”
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A cluster-based local modeling paradigm for high spatiotemporal resolution VPD prediction using multi-source data and machine learning by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…The results show that the local modeling significantly enhances prediction accuracy, with the XGBoost model outperforming others across all clusters and maintaining high precision across seasons scales and different land use types. …”
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Simulation and Prediction of Spring Snow Cover in Northern Hemisphere by CMIP6 Model by Xulei WANG, Hui SUN, Hui GUO, Chula SA, Fanhao MENG, Min LUO

“…As one of the most sensitive natural elements in response to climate change， snow cover has a significant effect on the Earth's surface radiation balance and water cycle.The global snow cover area is approximately 46×106 km2 and 98% of the snow cover distributed in the Northern Hemisphere.Due to its distinctive radiative properties （high surface albedo） and thermal characteristics （low thermal conductivity）， changes in snow cover play a crucial role in the energy balance and water cycle between land and the atmosphere.In the context of global warming， the snow cover in the Northern Hemisphere has been decreasing in recent decades， especially in the spring.Therefore， the capabilities of CMIP6 （Coupled Model Intercomparison Project Phase 6） data to simulate the snow cover area were evaluated based on observational data and the future changes in snow cover were also assessed using a multi-model average in this study.By using the snow cover products from the National Oceanic and Atmospheric Administration/National Climatic Data Center （NOAA/NCDC） as reference data， the Taylor skill scoring， relative deviation， and other methods were applied to evaluate the spring snow cover （SCF） data in the Northern Hemisphere from the International Coupled Model Comparison Project Phase 6 （CMIP6） during 1982 -2014.The ensemble average of the top three models was further selected to predict the spatiotemporal variation characteristics of SCF under different emission scenarios from 2015 to 2099， providing insights into the modeling capabilities of CMIP6 and future changes in SCF.During the historical period （1982 -2014）， SCF was characterized by high coverage at high latitudes and low coverage at low latitudes， with high-altitude regions such as Tibetan Plateau and eastern Asia having higher snow coverage than those at the same latitudes.Overall， 68.37% of the regions in the Northern Hemisphere showed a decreasing trend in SCF， while 31.63% of the regions showed an increasing trend in SCF.Most CMIP6 models overestimated SCF in the Tibetan Plateau region compared to the reference data.In addition， most models simulated larger areas with a decreasing trend in SCF than those evaluated by the reference data and underestimated SCF in March， April， and May.Various models exhibited differing abilities to simulate SCF， with NorESM2-MM， CESM2， BBC-CSM2-MR， NorESM2-LM， and CESM2-WACCM demonstrating superior capabilities.The Multi-Model Ensemble Mean （MME） consistently outperformed individual models， closely aligning with observational data.There were significant differences in the ability of the CMIP6 models to simulate the spatial distribution， inter-annual variation trends， and intra-annual variations of SCF in the Northern Hemisphere.At the end of the 21st-century （2067 -2099）， SCF in the Northern Hemisphere exhibited a decreasing trend in most areas， which intensifies with increasing emission intensity.The changes in SCF were relatively consistent under different emission scenarios before 2040.SCF maintains a steady state under the SSP1-2.6 scenario， showed a slight decreasing trend under the SSP2-4.5 scenario， and showed a significant decreasing trend under the SSP5-8.5 scenario after 2040.…”
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Theoretical investigations on the geometric and electronic structures of polyacetylene molecule under the influence of external electric field

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